uniform crossover

USAGE SUMMARY

The phrase "uniform crossover" is correct and usable in written English.
It is typically used in the context of genetic algorithms and evolutionary computation to describe a specific method of combining genetic information from two parent solutions. Example: "In our study, we implemented uniform crossover to enhance the diversity of the population and improve the optimization process."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

34 human-written examples

Uniform crossover  .

Journal of Petroleum Exploration and Production Technology

Commonly used operators are uniform crossover, binomial crossover, exponential crossover, arithmetic crossover.

EURASIP Journal on Wireless Communications and Networking

In uniform crossover, we create a random chromosome which has same length as the parent chromosome.

Journal of Industrial Engineering International

In uniform crossover, the individuals exchange parts according to some pattern defined randomly.

Journal of Industrial Engineering International

Other common crossover operators are two-point and uniform crossover which can be viewed in [12].

EURASIP Journal on Wireless Communications and Networking

In the GA, tournament selection and the uniform crossover method are used.

Composite Structures

Human-verified similar examples from authoritative sources

Similar Expressions

26 human-written examples

Simple and uniform crossovers as well as a heuristic mutation generate new solutions.

Journal of Industrial Engineering International

There exists several schemes such as single point, 2-point, multipoint and uniform crossovers.

EURASIP Journal on Wireless Communications and Networking

This means that we applied "un-uniform crossover" until the specific generation and after that we used the crossover according to the fitness operator for faster coverage and more accurate results.

Journal of Petroleum Exploration and Production Technology

In addition to benefits such as the non-uniform crossover, arithmetical combinations of individuals, searching directly with floating point representation, HDDE is a more accurate, fast and robust optimization method [26].

Journal of Modern Power Systems and Clean Energy

For example, in bread wheat (17Gb/C), a non-uniform crossover gradient along chromosome 3B has been observed, with lower frequencies of crossover in the gene-poor centromeric region and the highest frequencies of crossover in the distal subtelomeric regions, in which gene density is higher [ 52].

BMC Biology

Expert writing Tips

Best practice

When describing genetic algorithms, clearly define the "uniform crossover" operator you use, specifying any parameters or modifications from the standard implementation.

Common error

Avoid using "uniform crossover" interchangeably with single-point or two-point crossover. "Uniform crossover" selects genes randomly, while other methods select contiguous segments.

Linguistic Context

The phrase "uniform crossover" functions as a noun phrase, typically used as a technical term within the field of genetic algorithms to describe a specific method of genetic recombination. As Ludwig AI correctly notes, it's used to denote how genetic information is combined.

Expression frequency: Common

Frequent in

Science

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Ludwig's WRAP-UP

In summary, "uniform crossover" is a technical term predominantly used in the scientific domain, specifically within the field of genetic algorithms. As Ludwig AI indicates, it describes a method of genetic recombination where each gene is independently selected from either parent. Its function is to convey a specific crossover operation, contributing to discussions on optimization strategies. It is crucial to differentiate it from other crossover methods like single-point or two-point crossover to avoid confusion. This ensures clarity and precision in scientific writing and technical discussions related to evolutionary computation.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

random crossover

Emphasizes the randomness in the gene exchange process.

discrete recombination

Highlights the recombination aspect with a focus on discrete gene exchanges.

bit-based crossover

Focuses on the bit-level operation during crossover.

gene-level mixing

Emphasizes the mixing of genes between parents.

probabilistic crossover

Highlights the probabilistic nature of gene selection from parents.

position-independent crossover

Specifies that the crossover is not dependent on the gene's position.

equal inheritance crossover

Focuses on the equal chance of inheritance from both parents.

unbiased crossover

Implies that the crossover method does not favor one parent over another.

flexible crossover

Highlights adaptability in the crossover process.

parameterized uniform crossover

Adds a parameter aspect to the crossover, enabling the user to modify the crossover based on needs.

FAQs

How does "uniform crossover" differ from single-point crossover?

In "uniform crossover", each gene is independently selected from either parent with equal probability, whereas single-point crossover selects a single point to divide the parents and swaps the remaining segments.

When is "uniform crossover" most effective in genetic algorithms?

"Uniform crossover" is often effective when the problem requires mixing genes from both parents to explore a wider range of the solution space. It promotes diversity and can help avoid premature convergence.

What are some alternatives to "uniform crossover"?

Alternatives include single-point crossover, two-point crossover, and arithmetic crossover, each offering different ways to combine genetic material from parents. The best choice depends on the specific problem and desired exploration/exploitation balance.

How does the crossover probability affect the use of "uniform crossover"?

The crossover probability determines how often "uniform crossover" is applied. A higher probability encourages exploration, while a lower probability favors exploitation of existing solutions.